ML Infrastructure Operations Engineer

Posted Yesterday
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Hiring Remotely in México
Remote
Mid level
Aerospace • Automotive • Information Technology
The Role
Configure and maintain containerized ML environments, execute and monitor distributed training workloads on accelerator clusters, and automate operations with Python and Bash. Troubleshoot failures through log collection and infrastructure analysis, document findings, track execution status, communicate test progress, and collaborate with engineering teams to improve reliability and operational efficiency.
Summary Generated by Built In

ALTEN supports its customers’ development strategies in the areas of innovation, R&D and technological information systems.

Created more than 36 years ago and based in 30 countries, the Group has established itself as a world leader in Engineering and IT Services.
We work with key actors in the Aeronautics & Space, Defence & Naval, Security, Automotive, Rail, Energy, Life Sciences, Finance, Retail, Telecommunications and Services sectors.

With a financial turnover of more than 4.07 billion euros in 2023 and we currently have more than 57 000 employees all over the world.

Key responsabilities:

• Configure and maintain ML environments using Kubernetes, Docker, and YAML-based configurations.

• Execute, monitor, and validate distributed ML training workloads across multi-node accelerator clusters.

• Review, modify, and execute Python and Bash scripts to automate workload execution and adjust runtime configurations.

• Troubleshoot workload failures, collect logs, identify infrastructure or configuration issues, and document findings.

• Track workload execution status, communicate test progress, and collaborate with engineering teams to improve reliability and operational efficiency.


Requirements

• 3+ years of experience in ML Operations, Software Testing, Systems QA, Linux Systems Administration, or a related technical role.

• Strong proficiency with Linux command-line operations and shell environments.

• Experience reading and modifying Python and Bash scripts.

• Familiarity with Kubernetes, Docker, and containerized environments.

• Experience executing and monitoring distributed workloads.

• English: C1


Benefits
  • Sueldo base
  • Seguro de Gastos Médicos Mayores (incluye plan dental y visión)
  • 15 días de aguinaldo
  • 25% de prima vacacional
  • 12 días de vacaciones (A partir del primer año)
  • Seguro social
  • Vales de despensa quincenales

Skills Required

  • 3+ years of experience in ML Operations, Software Testing, Systems QA, Linux Systems Administration, or a related technical role
  • Strong proficiency with Linux command-line operations and shell environments
  • Experience reading and modifying Python and Bash scripts
  • Familiarity with Kubernetes, Docker, and containerized environments
  • Experience executing and monitoring distributed workloads
  • English proficiency at C1 level
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The Company
HQ: Boulogne-Billancourt
207 Employees
Year Founded: 2017

What We Do

We are a consulting firm specialized in the management of engineering projects globally for the automotive, aeronautical, IT, energy, among many sectors. Design, development and programming are the most requested services by the majority of our clients

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